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地区差异与影响未满足医疗需求的因素:基于第六次韩国国家健康与营养检查调查(2015年)的研究

Regional Disparity and Factors Influencing Unmet Medical Needs: A Study Based on the Sixth Korea National Health and Nutrition Examination Survey (2015).

作者信息

Lim Ji Hye

机构信息

Department of Healthcare Management, College of Health Science, Youngsan University, Yangsan, Korea.

出版信息

Osong Public Health Res Perspect. 2017 Oct;8(5):295-301. doi: 10.24171/j.phrp.2017.8.5.02. Epub 2017 Oct 31.

DOI:10.24171/j.phrp.2017.8.5.02
PMID:29164040
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5678200/
Abstract

OBJECTIVES

This study aimed to determine regional differences and the factors that affect unmet medical needs.

METHODS

Data from the 6th Korea National Health and Nutrition Examination Survey (2015) were used, and 4,946 health survey participants who provided responses on medical utilization and health behavior were included in the study.

RESULTS

A statistically significant difference was observed in the incidence rate of unmet medical needs in terms of region. The independent variables that affected unmet medical needs were sex, age, education, region, household income, insurance type, smoking status, self-reported health status, and stress awareness. Gender (female), lower education level, rural residents, lowest household income, poor self-reported health status, and stress awareness increased the probability of unmet medical needs.

CONCLUSION

Our findings suggested that different policies and approaches should be considered for each population that is at risk to address the primary cause of the unmet medical needs. Further studies that include medical expenses and the relevant variables of an area should be conducted in the future.

摘要

目的

本研究旨在确定地区差异以及影响未满足医疗需求的因素。

方法

使用了第六次韩国国家健康与营养检查调查(2015年)的数据,研究纳入了4946名提供了医疗利用和健康行为相关回复的健康调查参与者。

结果

在未满足医疗需求的发生率方面观察到了具有统计学意义的地区差异。影响未满足医疗需求的自变量包括性别、年龄、教育程度、地区、家庭收入、保险类型、吸烟状况、自我报告的健康状况以及压力意识。女性、较低的教育水平、农村居民、最低家庭收入、自我报告的健康状况较差以及压力意识增加了未满足医疗需求的可能性。

结论

我们的研究结果表明,对于面临风险的每个人口群体,应考虑不同的政策和方法来解决未满足医疗需求的主要原因。未来应开展包括医疗费用和地区相关变量的进一步研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab9d/5678200/d7d7d998d366/phrp-08-295f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab9d/5678200/d7d7d998d366/phrp-08-295f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab9d/5678200/d7d7d998d366/phrp-08-295f1.jpg

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